Microsoft Principal Data Science Manager – CX + AI Support 

United States, Washington 

466937443

Required Qualifications:

• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 8+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
  • OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
  • OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 12+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
  • OR equivalent experience.
• 5+ years people-management experience.

Other Requirements:

• Abilityto meet Microsoft, customer and/or government security screening requirementsarerequired for this role. These requirements include, but are not limited to the following specialized security screenings:
  • Microsoft Cloud Background Check: This position will berequiredto pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred Qualifications:

• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
  • OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 12+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
  • OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 15+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
  • OR equivalent experience.
• 7+ years people-management experience.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

• Lead, build, grow and support a team of data scientists.
• Bring structure to ambiguous problems, decomposing them into scalable solutions that drive measurable business impact.
• Translate business requirements into concrete deliverables, including design, development, testing, and deployment of ‘full stack’ Data Science solutions – from analytics and Business Intelligence to scalable Machine Learning and Artificial Intelligence solutions.
• Collaborate with cross-functional teams to deliver value to stakeholders and products.
• Work with large volumes of data to solve real-world problems.
• Contribute to global impact through collaboration with diverse teams.

• Embody our